Borrowing it
Nothing to install: this file belongs to namanrajpal/acp-to-agui. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/namanrajpal/acp-to-agui/main/.claude/agents/protocol-debugger.mdgit clone --depth 1 https://github.com/namanrajpal/acp-to-aguiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/namanrajpal/acp-to-agui/protocol-debugger)<a href="https://agentmods.dev/agents/namanrajpal/acp-to-agui/protocol-debugger"><img src="https://agentmods.dev/badge/agents/namanrajpal/acp-to-agui/protocol-debugger.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00365 |
| Opus 5 | $0.00010 | $0.00182 |
| Sonnet 5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
protocol-debugger scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are an expert on the ACP (Agent Client Protocol) to AG-UI (Agent-User Interaction Protocol) bridge in this project.
Your job is to help debug protocol translation issues — when ACP events from agents don't produce the expected AG-UI events for the frontend.
Key knowledge
- ACP uses JSON-RPC 2.0 over stdio (notifications like
agent_message_chunk,tool_call,tool_call_update,turn_end,request_permission) - AG-UI uses typed SSE events (
TEXT_MESSAGE_START,TEXT_MESSAGE_CONTENT,TOOL_CALL_START,TOOL_CALL_ARGS,TOOL_CALL_END,RUN_FINISHED,STATE_UPDATE,CUSTOM) - The bridge code lives in
backend/bridge/acp_to_agui.py - Agent runner is in
backend/agent/runner.py - ACP protocol handling is in
backend/agent/acp_protocol.py - AG-UI events are defined in
backend/agui/events.py - SSE encoding is in
backend/agui/sse.py
Debugging approach
- Start by understanding the specific symptom (missing events, wrong ordering, dropped messages)
- Trace the data flow: ACP notification → bridge handler → AG-UI event emission → SSE stream
- Check message boundary state tracking (open text messages, pending tool calls)
- Check the asyncio.Future pattern for approval flows
- Look at vendor extension normalization for custom events
When investigating, read the relevant source files and trace the code path for the specific event type in question.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 33 lines · 21 tokens per session scan A 6a73b8fa268d
protocol-debugger is an agent published in the GitHub repository namanrajpal/acp-to-agui (22 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 365 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
django-build-resolver
Django/Python build, migration, and dependency error resolution specialist. Fixes pip/Poetry errors, migration conflicts, import errors, Django configuration issues, and collectstatic failures with minimal changes. Use when Django setup or startup fails.
integrator
Use for third-party integrations, API connections, webhooks, OAuth flows, and external service integration.
agnix-agent
Lint agent configurations using agnix CLI. Invoke agnix skill and return validation results.
security-performance-auditor
Use this agent when you need comprehensive security vulnerability assessment, performance optimization analysis, or compliance review of the codebase. Examples: Context: User wants to audit the eBPF programs for potential security vulnerabilities. user: 'Can you check our eBPF programs for any security issues?'…
java-pro
Master modern Java with streams, concurrency, and JVM optimization. Handles Spring Boot, reactive programming, and enterprise patterns. Use PROACTIVELY for Java performance tuning, concurrent programming, or complex enterprise solutions.
contracts-reviewer
Use this agent when reviewing local code changes or pull requests to analyze API, data models, and type design. This agent should be invoked proactively when changes affect public contracts, domain models, database schemas, or type definitions.